The 3rd International Conference on Software Engineering and Machine Learning (CONF-SEML 2025) is a leading conference on software engineering and machine learning. CONF-SEML 2025 is open to international participants. It provides an excellent opportunity for scholars interested in artificial intelligence and information technology to share their findings and achievements, thus promoting communication and cooperation.
The goal of this conference is to bring together researchers and practitioners from academia and industry to highlight the importance of computing and data science as well as establish new collaborations in these areas. The conference looks for significant contributions to machine learning and computer applications in theoretical and practical aspects.
CONF-SEML 2025 is a hybrid conference, establishing an online session and welcoming participants from all countries and regions to join whenever and wherever possible. Meanwhile, to facilitate broader academic exchange and knowledge sharing, CONF-SEML 2025 will host multiple on-site symposium series at University of Bath, Tianjin University, and Illinois Institute of Technology. Authors are welcome to submit their manuscripts to the symposium series, each of which will independently handle the submission and review process.
All papers submitted to the conference will be assigned to the respective symposium committees based on factors such as submission date and topic relevance. Each symposium committee will then coordinate the peer review process, ensuring rigorous evaluation and making final decisions on acceptance and publication.
We call for excellent papers and review them according to the requirements of each journal. Qualified submissions will be directly recommended for publication in the following journals or corresponding Special Issues. The journals listed below have been indexed by Science Citation Index (SCI)/Science Citation Index Expanded (SCI-E) and/or Social Science Citation Index (SSCI):
Please refer to the 'Information > Publication' page for specific recommendation rules and guidelines.
Accepted papers of CONF-SEML 2025 will be published in conference proceedings according to the research field, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI and other databases for indexing. The indexing result will be determined by the conference proceedings in which the paper is included.
* Accepted manuscripts will be submitted to the publisher on a rolling basis. Early-registered papers are expected to be published and printed earlier.
The submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by 3 reviewers. They will judge the paper based on the theme, coverage, innovation, integrity, depth, and language. If the paper is accepted, the notification of acceptance and review comments will be sent to the author via email. The actual review time may be different in certain situations.
Venue | Final Submission | Date | Notification of Acceptance |
---|---|---|---|
Online Session | / | July 2, 2025 | / |
Symposium Chicago | Feburary 12, 2025 | Feburary 12, 2025 | 7-20 workdays |
Symposium Tianjin | May 11, 2025 | May 18, 2025 | 7-20 workdays |
Symposium Bath | June 25, 2025 | July 2, 2025 | 7-20 workdays |
CONF-SEML cooperates with the following journals and qualified papers have the opportunity to be recommended for publication in this journal.
The Journal of Computational and Cognitive Engineering (JCCE) is an international, peer-reviewed, open access journal, which publishes reviews, research papers and communications in various fields, including computational and cognitive engineering, etc. The goal of the journal is to encourage scientists to publish their experimental and theoretical results in as much detail as possible.
For more information: https://ojs.bonviewpress.com/index.php/JCCE/index